Comparison of Three Extraction Methods for 17 β-Estradiol in Sand,Bentonite, and Organic-Rich Silt Loam

Extraction is an important procedure for samples that contain soil because other compounds in soil may affect analysis of estrogens. This study was conducted to evaluate three different extraction methods for 17β-estradiol in soil. Sand, bentonite, and organic-rich silt loam were spiked with 1 mg kg^{? 1} of 17β-estradiol as a model compound of estrogens. 17β-estradiol and its metabolites, estrone and estriol, were extracted using (i) a modified Bligh and Dyer extraction, (ii) a pressurized fluid extraction, and (iii) a diethyl ether extraction, and measured by liquid chromatography tandem mass spectrometry. There were significant differences in the extraction efficiency for 17β-estradiol among the extraction methods and the soils: the efficiencies ranged from 10% to 97%. Overall, the diethyl ether extraction method had the largest efficiency of 17β-estradiol with 45% and 57% for bentonite and silt loam, respectively. Transformation of 17β-estradiol to estrone and estriol in the different extraction methods was less than 3.6% during the extraction procedures. This study underlined the importance of sample preparation for estrogen analysis in soil samples.     

生态示范区内生态工业建设模式探讨

生态工业建设为生态示范区建设的重要内容之一 ,是一项涉及到地区经济发展、人地关系协调的重大举措。从生态示范区建设中生态工业的基本定义出发 ,对生态工业建设层次进行详尽分析 ;并结合代表江苏省苏南、苏中和苏北不同社会经济发展水平的三个地区——吴县市、邗江县和邳州市的具体案例 ,通过对其产业构成、主导产业、消费结构以及经济发展总量与人均水平的对比分析 ,指出经济发展水平较低的地区要立足当地农业资源 ,实施末端治理并逐步推广清洁生产这种较低层次的生态工业建设模式 ;而经济发展较好的地区其生态工业的建设则要采用生态企业以及生态工业园区这种较高层次的建设模式。为确保生态工业建设的顺利实施 ,最后从政府、企业、市场和公众四方面提出了生态工业建设的驱动机制     

公民对全球环境变化的响应——以上海、香港地区为例

工业革命以来,全球环境发生了前所未有的变化,将可能给地球系统带来灾难性后果,究其原因主要是由于人类活动造成的。人的行为深受意识的影响和制约,环境意识对于环境问题的产生和解决至关重要。本文选取上海、香港两个地区来分析公民对环境的关注度、公民的环保意识、环保行为以及公民对政府环境工作的看法和评价,研究公民对全球环境变化反应的区域差异,为政府制定相关环境保护政策提供理论依据。调查结果显示,上海、香港两地公民在很多环境闷题上具有共识。但是。在对手环境状况好转的期待值、参与环境保护活动的积极性、对人为因素主导力量的认识、环境保护与日常生活的切实关系、为环境保护的支付意愿、对于环境教育内容的认可度等方面存在着一定的差异。     

Application of Multiattribute Decision-Making Methods for the Determination of Relative Significance Factor of Impact Categories

A relative significance factor (f _i ) of an impact category is the external weight of the impact category. The objective of this study is to propose a systematic and easy-to-use method for the determination of f _i . Multiattribute decision-making (MADM) methods including the analytical hierarchy process (AHP), the rank-order centroid method, and the fuzzy method were evaluated for this purpose. The results and practical aspects of using the three methods are compared. Each method shows the same trend, with minor differences in the value of f _i . Thus, all three methods can be applied to the determination of f _i . The rank order centroid method reduces the number of pairwise comparisons by placing the alternatives in order, although it has inherent weakness over the fuzzy method in expressing the degree of vagueness associated with assigning weights to criteria and alternatives. The rank order centroid method is considered a practical method for the determination of f _i because it is easier and simpler to use compared to the AHP and the fuzzy method.     

连云港市大气、水环境污染经济损失初步估算

实行环境核算并将其纳入国民经济核算体系。是实施可持续发展战略的重大措施。本文对连云港市的大气、水环境污染损失进行估算并将其纳入到国民经济核算体系中。结果显示：1996—2000年连云港市大气、水污染损失年均分别为51623．4万元和135215．7万元，占GDP比重的2．2％和5．2％。合计高达7．4％。这表明大气和水污染损失的严重性。以GDP为主要衡量指标的现行国民经济核算体系过高地估计了连云港市的经济增长水平。掩饰了环境的退化，不利于可持续发展的科学决策和环境的管理。     

我国海岸带环境灾害的基本特征与减灾对策

海岸带是自然灾害与社会经济发达区相互重叠的特殊环境地带.我国海岸带环境灾害的基本特征是种类繁多,频次高,破坏性强,与社会经济发展耦合,易形成复杂灾害链等.本文提出了基于可持续发展观点的、以工程建设与生态建设相结合、灾害区划与综合减灾相结合、基础研究与高科技应用相结合的减灾对策.     

基于产业调整的太湖流域生态环境优化探讨

以流域为单元进行水资源综合管理,是实现资源、环境与经济社会协调发展的重要途径. 产业调整能控制污染源的数量和种类,是区域环境治理的关键环节和有效手段. 从湖泊流域产业的特有结构分析出发,以太湖为例,分析了当前太湖流域环境问题、产生的原因及其存在的产业不合理性,探讨了点源污染、线源污染和面源污染的成因及其对污染总量的贡献、治理方案并加以对比分析;探讨了湖泊流域产业调整和优化对区域生态环境的改善及污染控制治理中的作用,基于污染总量恒定或稳步下降、经济发展速度不变的情况下,对流域产业升级和优化调整提出了具体的产业结构和政策,这对指导湖区流域可持续发展具有一定的理论意义和实践价值.      

ENVIRONMENTAL AUDITING: An Approach for Characterizing Tropospheric Ozone Risk to Forests

/ The risk tropospheric ozone poses to forests in the United States is dependent on the variation in ozone exposure across the distribution of the forests in question and the various environmental and climate factors predominant in the region. All these factors have a spatial nature, and consequently an approach to characterization of ozone risk is presented that places ozone exposure-response functions for species as seedlings and model-simulated tree and stand responses in a spatial context using a geographical information systems (GIS). The GIS is used to aggregate factors considered important in a risk characterization, including: (1) estimated ozone exposures over forested regions, (2) measures of ozone effects on species' and stand growth, and (3) spatially distributed environmental, genetic, and exposure influences on species' response to ozone. The GIS-based risk characterization provides an estimation of the extent and magnitude of the potential ozone impact on forests. A preliminary risk characterization demonstrating this approach considered only the eastern United States and only the limited empirical data quantifying the effect of ozone exposures on forest tree species as seedlings. The area-weighted response of the annual seedling biomass loss formed the basis for a sensitivity ranking: sensitive-aspen and black cherry (14%-33% biomass loss over 50% of their distribution); moderately sensitive-tulip popular, loblolly pine, eastern white pine, and sugar maple (5%-13% biomass loss); insensitive-Virginia pine and red maple (0%-1% loss). In the future, the GIS-based risk characterization will include process-based model simulations of the three- to 5-year growth response of individual species as large trees with relevant environmental interactions and model simulated response of mixed stands. The interactive nature of GIS provides a tool to explore consequences of the range of climate conditions across a species' distribution, forest management practices, changing ozone precursors, regulatory control strategies, and other factors influencing the spatial distribution of ozone over time as more information becomes available.KEY WORDS: Ecological risk assessment; GIS; Ozone; Risk characterization; Forests; Trees     

海南东寨港红树林湿地面积变化及其驱动力分析

本文分析了海南省东寨港红树林湿地的面积变化及其驱动力。结合早期地形图和实地调查数据,利用3个时相的TM遥感图片,计算出1959年、1989年、1996年、2002年4个时相的红树林面积分别为3213．8hm^2、1657．8hm^2、2018．8hm^2和1552．6hm^2。在过去的近50年里,有近50％的天然红树林被毁掉,红树林湿地被转换为经济林种植田、水产养殖塘、城镇基础设施建设用地等。自1980年成立红树林自然保护区以来,红树林得到了一定程度的保护,1989年到1996年图像对比上红树林面积增加了361．0hm^2。近年来,旅游业的开发对红树林生态系统存在一定程度的干扰。2002年,红树林面积相对于1996年减少了566．2hm^2。此外,红树林斑块的空间格局和树种的构成发生了变化,红树林群落植物多样性明显减弱。在综合分析基础上,根据生态系统综合管理的思想。提出了建立高水平的管理研究队伍,采用先进的管理技术和手段,综合管理红树林生态系统。